Publication Date
In 2025 | 0 |
Since 2024 | 10 |
Since 2021 (last 5 years) | 44 |
Since 2016 (last 10 years) | 69 |
Since 2006 (last 20 years) | 111 |
Descriptor
Comparative Analysis | 157 |
Computer Assisted Instruction | 157 |
Learning Processes | 157 |
Teaching Methods | 82 |
Foreign Countries | 54 |
Instructional Effectiveness | 50 |
Student Attitudes | 36 |
Computer Software | 35 |
Second Language Instruction | 33 |
Second Language Learning | 33 |
Instructional Design | 26 |
More ▼ |
Source
Author
Amisha Jindal | 3 |
Ashish Gurung | 3 |
Erin Ottmar | 3 |
Ji-Eun Lee | 3 |
Reilly Norum | 3 |
Sanika Nitin Patki | 3 |
Biemans, Harm J. A. | 2 |
Chizari, Mohammad | 2 |
Hannafin, Michael J. | 2 |
Mulder, Martin | 2 |
Noroozi, Omid | 2 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 8 |
Practitioners | 2 |
Teachers | 1 |
Location
Germany | 7 |
Taiwan | 6 |
Japan | 4 |
South Korea | 4 |
Australia | 3 |
China | 3 |
Netherlands | 3 |
Philippines | 3 |
Ukraine | 3 |
Florida | 2 |
Kazakhstan | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 2 |
ACTFL Oral Proficiency… | 1 |
Differential Aptitude Test | 1 |
What Works Clearinghouse Rating
Does not meet standards | 1 |
Beach, Isidora R.; D'Agostino, Erin N.; Thakrar, Raj; Lunardini, David J. – Anatomical Sciences Education, 2023
Ongoing research has attempted to discern the optimal way to teach surgical anatomy. This study investigated the relative effectiveness of drawing and clay modeling on learning spinal anatomy among medical students. Participants were recruited from a first-year medical school class to participate in an optional educational session in their regular…
Descriptors: Anatomy, Medical Education, Surgery, Teaching Methods
Ünal Çakiroglu – Learning: Research and Practice, 2024
This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality…
Descriptors: Courseware, Computer Assisted Instruction, Multimedia Instruction, Comparative Analysis
Qing Yu; Bao-min Li; Qi-yun Wang – Interactive Learning Environments, 2024
In recent years, 3D holographic technology (3DHT) has attracted more and more attention from the field of education, bringing new opportunities to reform the delivery of instruction and learning. Whether the application of 3D holographic technology can effectively improve student learning performance has become a pendent issue. In this study, a…
Descriptors: Visual Aids, Technology, Learning Processes, Meta Analysis
Kontorovich, Igor' – International Journal of Mathematical Education in Science and Technology, 2023
In undergraduate mathematics education, students' collaborations have gained a reputation as a 'good' learning practice. A more complex image emerges once collaborations are construed as an arena where cognitive, social, and affective matters intertwine in ways that can fuel and impede learning. In this study, I take a close look at a…
Descriptors: Undergraduate Students, Cooperative Learning, Learning Processes, Computer Assisted Instruction
Han, Ahyoung; Wohn, Kwangyun; Ahn, Jaehong – International Journal of Technology and Design Education, 2021
Fashion designers in the digital era will be expected to have a profound knowledge of programming and physical computing. Therefore, finding effective methods to adopt E-textiles in fashion education is developing imperative furtherance. E-textiles are clothes embedded with microcomputers, digital components (sensor, LED), and other electronic…
Descriptors: Clothing, Teaching Methods, Feedback (Response), Programming
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Romadiah, Hikmah; Dayurni, Popi; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This research is motivated by the increasing number of users of android-based learning media it impacts the learning outcomes obtained. This study aims to determine the effect of android-based learning media on improving student learning outcomes. This research is a meta-analysis study. Data collection techniques are taken from indexing databases…
Descriptors: Meta Analysis, Handheld Devices, Telecommunications, Computer Assisted Instruction
Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
Ali Al Ghaithi; Behnam Behforouz; Hassan Isyaku – Turkish Online Journal of Distance Education, 2024
This study tried to design a WhatsApp bot to be implemented in English language vocabulary learning context in Oman. 150 Omani English as a Foreign Language (EFL) students from three different proficiency levels were selected based on random sampling. To measure the effectiveness of the treatment, pretests, posttests, and delayed posttests were…
Descriptors: Computer Software, Teaching Methods, Computer Assisted Instruction, Student Attitudes
Mary Opio-Göres; Ingo Kollar; Birgit Dorner – Journal of Social Work Education, 2024
Assessing cases of child welfare requires the ability to engage with different sources of information systematically. This study examined how case-based learning (CBL) can be used to support social work students (N = 104) acquire knowledge crucial to assessing cases of child welfare and whether benefits of CBL could be maximized by structuring the…
Descriptors: Social Work, Counselor Training, Metacognition, Concept Formation
Vogel, Freydis; Kollar, Ingo; Fischer, Frank; Reiss, Kristina; Ufer, Stefan – International Journal of Computer-Supported Collaborative Learning, 2022
Collaboration scripts and heuristic worked examples have been described as powerful scaffolds to support skill acquisition in CSCL. While CSCL scripts particularly facilitate argumentative discourse within groups, heuristic worked examples provide heuristics and worked out pathways to solve domain-specific tasks. Yet, both scripts and heuristic…
Descriptors: Mathematics Instruction, Computer Assisted Instruction, Teaching Methods, Comparative Analysis
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games